A stochastic analysis is introduced to determine an actual feeder photovoltaic (PV) accommodation capacity with PV planned capacity constraint taken into account. It is shown by stochastic simulation results that the maximum PV accommodation of the original feeder is incapable of satisfying the planned PV capacity. Hence the introduction of a lead-acid storage system. Under the condition of the feeder PV accommodation capacity up to requirement

a local L index and particle swarm optimization (PSO) algorithm are used for siting and sizing of the energy storage system. It is demonstrated that the storage system is able to significantly improve feeder PV accommodation capacity and voltage stability by simulation results. And appropriate PV curtailment can not only effectively reduce storage size

but is cost-effective

and conducive to feeder voltage stability. This work is supported by National Natural Science Foundation of China (No. 51207040)

National High Technology Research and Development Program of China (863 Program) (No. 2014AA052005) and State Grid Corporation of China.